End-to-end Autonomous Driving Architecture

End-to-end Autonomous Driving Model Training Strategy

Learning-based Planning

3D Object Detection and Occuapncy Prediction

3D Reconstruction (NeRF, 3DGS)

Sensor Fusion

Active Learning

Continual Learning

Long-tail Scenario Mining

World Model as a Data Engine

World Model based Closed-loop Simulator

Representation Learning with World Model

VLM and VLA for Autonomous Driving